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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_spectrum.wasp
Title produced by softwareSpectral Analysis
Date of computationSun, 18 Dec 2016 19:56:34 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/18/t1482087452w1xjyjw0128qvoh.htm/, Retrieved Fri, 01 Nov 2024 03:28:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=301218, Retrieved Fri, 01 Nov 2024 03:28:55 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spectral Analysis] [cumulative period...] [2016-12-18 18:56:34] [33f2a624cfeb2efbc43d2c77b7c0dad6] [Current]
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Dataseries X:
4870
4240
3800
3990
3290
4710
4210
4440
5040
5070
4900
4790
3890
3450
4080
3280
3130
3310
3860
4570
5110
4820
4250
4210
3610
3710
2760
2710
2710
3290
2670
3620
4440
3910
4610
3760
3460
3020
3360
2610
2670
2480
2610
3320
2800
3030
3740
3060
3040
2620
3190
2750
2630
3290
2430
2730
3690
2980
2590
3360
2370
2200
2330
2370
2200
2430
2400
2840
2870
3320
3090
2680
2420
2550
2420
2430
2330
2520
2630
2570
2800
2680
2430
2790
2420
2750
2350
2330
2290
2330
2490
2480
2760
2590
2950
2570
2960
2540
2400
2470
2390
2310
2470
2490
2510
2690
3060
2690








































Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=301218&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [ROW]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=301218&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301218&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.







Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)-1
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0093 (108)0
0.0185 (54)0
0.0278 (36)0
0.037 (27)0
0.0463 (21.6)0
0.0556 (18)0
0.0648 (15.4286)0
0.0741 (13.5)0
0.0833 (12)0
0.0926 (10.8)0
0.1019 (9.8182)0
0.1111 (9)0
0.1204 (8.3077)0
0.1296 (7.7143)0
0.1389 (7.2)0
0.1481 (6.75)0
0.1574 (6.3529)0
0.1667 (6)0
0.1759 (5.6842)0
0.1852 (5.4)0
0.1944 (5.1429)0
0.2037 (4.9091)0
0.213 (4.6957)0
0.2222 (4.5)0
0.2315 (4.32)0
0.2407 (4.1538)0
0.25 (4)0
0.2593 (3.8571)0
0.2685 (3.7241)0
0.2778 (3.6)0
0.287 (3.4839)0
0.2963 (3.375)0
0.3056 (3.2727)0
0.3148 (3.1765)0
0.3241 (3.0857)0
0.3333 (3)0
0.3426 (2.9189)0
0.3519 (2.8421)0
0.3611 (2.7692)0
0.3704 (2.7)0
0.3796 (2.6341)0
0.3889 (2.5714)0
0.3981 (2.5116)0
0.4074 (2.4545)0
0.4167 (2.4)0
0.4259 (2.3478)0
0.4352 (2.2979)0
0.4444 (2.25)0
0.4537 (2.2041)0
0.463 (2.16)0
0.4722 (2.1176)0
0.4815 (2.0769)0
0.4907 (2.0377)0
0.5 (2)0

\begin{tabular}{lllllllll}
\hline
Raw Periodogram \tabularnewline
Parameter & Value \tabularnewline
Box-Cox transformation parameter (lambda) & -1 \tabularnewline
Degree of non-seasonal differencing (d) & 1 \tabularnewline
Degree of seasonal differencing (D) & 0 \tabularnewline
Seasonal Period (s) & 12 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0093 (108) & 0 \tabularnewline
0.0185 (54) & 0 \tabularnewline
0.0278 (36) & 0 \tabularnewline
0.037 (27) & 0 \tabularnewline
0.0463 (21.6) & 0 \tabularnewline
0.0556 (18) & 0 \tabularnewline
0.0648 (15.4286) & 0 \tabularnewline
0.0741 (13.5) & 0 \tabularnewline
0.0833 (12) & 0 \tabularnewline
0.0926 (10.8) & 0 \tabularnewline
0.1019 (9.8182) & 0 \tabularnewline
0.1111 (9) & 0 \tabularnewline
0.1204 (8.3077) & 0 \tabularnewline
0.1296 (7.7143) & 0 \tabularnewline
0.1389 (7.2) & 0 \tabularnewline
0.1481 (6.75) & 0 \tabularnewline
0.1574 (6.3529) & 0 \tabularnewline
0.1667 (6) & 0 \tabularnewline
0.1759 (5.6842) & 0 \tabularnewline
0.1852 (5.4) & 0 \tabularnewline
0.1944 (5.1429) & 0 \tabularnewline
0.2037 (4.9091) & 0 \tabularnewline
0.213 (4.6957) & 0 \tabularnewline
0.2222 (4.5) & 0 \tabularnewline
0.2315 (4.32) & 0 \tabularnewline
0.2407 (4.1538) & 0 \tabularnewline
0.25 (4) & 0 \tabularnewline
0.2593 (3.8571) & 0 \tabularnewline
0.2685 (3.7241) & 0 \tabularnewline
0.2778 (3.6) & 0 \tabularnewline
0.287 (3.4839) & 0 \tabularnewline
0.2963 (3.375) & 0 \tabularnewline
0.3056 (3.2727) & 0 \tabularnewline
0.3148 (3.1765) & 0 \tabularnewline
0.3241 (3.0857) & 0 \tabularnewline
0.3333 (3) & 0 \tabularnewline
0.3426 (2.9189) & 0 \tabularnewline
0.3519 (2.8421) & 0 \tabularnewline
0.3611 (2.7692) & 0 \tabularnewline
0.3704 (2.7) & 0 \tabularnewline
0.3796 (2.6341) & 0 \tabularnewline
0.3889 (2.5714) & 0 \tabularnewline
0.3981 (2.5116) & 0 \tabularnewline
0.4074 (2.4545) & 0 \tabularnewline
0.4167 (2.4) & 0 \tabularnewline
0.4259 (2.3478) & 0 \tabularnewline
0.4352 (2.2979) & 0 \tabularnewline
0.4444 (2.25) & 0 \tabularnewline
0.4537 (2.2041) & 0 \tabularnewline
0.463 (2.16) & 0 \tabularnewline
0.4722 (2.1176) & 0 \tabularnewline
0.4815 (2.0769) & 0 \tabularnewline
0.4907 (2.0377) & 0 \tabularnewline
0.5 (2) & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301218&T=1

[TABLE]
[ROW][C]Raw Periodogram[/C][/ROW]
[ROW][C]Parameter[/C][C]Value[/C][/ROW]
[ROW][C]Box-Cox transformation parameter (lambda)[/C][C]-1[/C][/ROW]
[ROW][C]Degree of non-seasonal differencing (d)[/C][C]1[/C][/ROW]
[ROW][C]Degree of seasonal differencing (D)[/C][C]0[/C][/ROW]
[ROW][C]Seasonal Period (s)[/C][C]12[/C][/ROW]
[ROW][C]Frequency (Period)[/C][C]Spectrum[/C][/ROW]
[ROW][C]0.0093 (108)[/C][C]0[/C][/ROW]
[ROW][C]0.0185 (54)[/C][C]0[/C][/ROW]
[ROW][C]0.0278 (36)[/C][C]0[/C][/ROW]
[ROW][C]0.037 (27)[/C][C]0[/C][/ROW]
[ROW][C]0.0463 (21.6)[/C][C]0[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]0[/C][/ROW]
[ROW][C]0.0648 (15.4286)[/C][C]0[/C][/ROW]
[ROW][C]0.0741 (13.5)[/C][C]0[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]0[/C][/ROW]
[ROW][C]0.0926 (10.8)[/C][C]0[/C][/ROW]
[ROW][C]0.1019 (9.8182)[/C][C]0[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]0[/C][/ROW]
[ROW][C]0.1204 (8.3077)[/C][C]0[/C][/ROW]
[ROW][C]0.1296 (7.7143)[/C][C]0[/C][/ROW]
[ROW][C]0.1389 (7.2)[/C][C]0[/C][/ROW]
[ROW][C]0.1481 (6.75)[/C][C]0[/C][/ROW]
[ROW][C]0.1574 (6.3529)[/C][C]0[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]0[/C][/ROW]
[ROW][C]0.1759 (5.6842)[/C][C]0[/C][/ROW]
[ROW][C]0.1852 (5.4)[/C][C]0[/C][/ROW]
[ROW][C]0.1944 (5.1429)[/C][C]0[/C][/ROW]
[ROW][C]0.2037 (4.9091)[/C][C]0[/C][/ROW]
[ROW][C]0.213 (4.6957)[/C][C]0[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]0[/C][/ROW]
[ROW][C]0.2315 (4.32)[/C][C]0[/C][/ROW]
[ROW][C]0.2407 (4.1538)[/C][C]0[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]0[/C][/ROW]
[ROW][C]0.2593 (3.8571)[/C][C]0[/C][/ROW]
[ROW][C]0.2685 (3.7241)[/C][C]0[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]0[/C][/ROW]
[ROW][C]0.287 (3.4839)[/C][C]0[/C][/ROW]
[ROW][C]0.2963 (3.375)[/C][C]0[/C][/ROW]
[ROW][C]0.3056 (3.2727)[/C][C]0[/C][/ROW]
[ROW][C]0.3148 (3.1765)[/C][C]0[/C][/ROW]
[ROW][C]0.3241 (3.0857)[/C][C]0[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]0[/C][/ROW]
[ROW][C]0.3426 (2.9189)[/C][C]0[/C][/ROW]
[ROW][C]0.3519 (2.8421)[/C][C]0[/C][/ROW]
[ROW][C]0.3611 (2.7692)[/C][C]0[/C][/ROW]
[ROW][C]0.3704 (2.7)[/C][C]0[/C][/ROW]
[ROW][C]0.3796 (2.6341)[/C][C]0[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]0[/C][/ROW]
[ROW][C]0.3981 (2.5116)[/C][C]0[/C][/ROW]
[ROW][C]0.4074 (2.4545)[/C][C]0[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]0[/C][/ROW]
[ROW][C]0.4259 (2.3478)[/C][C]0[/C][/ROW]
[ROW][C]0.4352 (2.2979)[/C][C]0[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]0[/C][/ROW]
[ROW][C]0.4537 (2.2041)[/C][C]0[/C][/ROW]
[ROW][C]0.463 (2.16)[/C][C]0[/C][/ROW]
[ROW][C]0.4722 (2.1176)[/C][C]0[/C][/ROW]
[ROW][C]0.4815 (2.0769)[/C][C]0[/C][/ROW]
[ROW][C]0.4907 (2.0377)[/C][C]0[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=301218&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301218&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)-1
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0093 (108)0
0.0185 (54)0
0.0278 (36)0
0.037 (27)0
0.0463 (21.6)0
0.0556 (18)0
0.0648 (15.4286)0
0.0741 (13.5)0
0.0833 (12)0
0.0926 (10.8)0
0.1019 (9.8182)0
0.1111 (9)0
0.1204 (8.3077)0
0.1296 (7.7143)0
0.1389 (7.2)0
0.1481 (6.75)0
0.1574 (6.3529)0
0.1667 (6)0
0.1759 (5.6842)0
0.1852 (5.4)0
0.1944 (5.1429)0
0.2037 (4.9091)0
0.213 (4.6957)0
0.2222 (4.5)0
0.2315 (4.32)0
0.2407 (4.1538)0
0.25 (4)0
0.2593 (3.8571)0
0.2685 (3.7241)0
0.2778 (3.6)0
0.287 (3.4839)0
0.2963 (3.375)0
0.3056 (3.2727)0
0.3148 (3.1765)0
0.3241 (3.0857)0
0.3333 (3)0
0.3426 (2.9189)0
0.3519 (2.8421)0
0.3611 (2.7692)0
0.3704 (2.7)0
0.3796 (2.6341)0
0.3889 (2.5714)0
0.3981 (2.5116)0
0.4074 (2.4545)0
0.4167 (2.4)0
0.4259 (2.3478)0
0.4352 (2.2979)0
0.4444 (2.25)0
0.4537 (2.2041)0
0.463 (2.16)0
0.4722 (2.1176)0
0.4815 (2.0769)0
0.4907 (2.0377)0
0.5 (2)0



Parameters (Session):
par4 = 12 ;
Parameters (R input):
par1 = -1.0 ; par2 = 1 ; par3 = 0 ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '12'
par3 <- '2'
par2 <- '1'
par1 <- '-1.0'
par1 <- as.numeric(par1)
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
if (par1 == 0) {
x <- log(x)
} else {
x <- (x ^ par1 - 1) / par1
}
if (par2 > 0) x <- diff(x,lag=1,difference=par2)
if (par3 > 0) x <- diff(x,lag=par4,difference=par3)
bitmap(file='test1.png')
r <- spectrum(x,main='Raw Periodogram')
dev.off()
bitmap(file='test2.png')
cpgram(x,main='Cumulative Periodogram')
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Raw Periodogram',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'Value',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Box-Cox transformation parameter (lambda)',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degree of non-seasonal differencing (d)',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degree of seasonal differencing (D)',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Seasonal Period (s)',header=TRUE)
a<-table.element(a,par4)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Frequency (Period)',header=TRUE)
a<-table.element(a,'Spectrum',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(r$freq)) {
a<-table.row.start(a)
mylab <- round(r$freq[i],4)
mylab <- paste(mylab,' (',sep='')
mylab <- paste(mylab,round(1/r$freq[i],4),sep='')
mylab <- paste(mylab,')',sep='')
a<-table.element(a,mylab,header=TRUE)
a<-table.element(a,round(r$spec[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')